Module Catalogue 2024/25

Pre Requisite Comment

The course only requirement is some basic knowledge of mathematical analysis (basic derivatives), linear algebra (basic concepts of vectors, matrices).

Co Requisite Comment

N/A

Aims

The aims of this module are:

1.       To provide an understanding of statistical, and/or other numerical methods, appropriate to research in a range of science and engineering disciplines
2.       To provide basic knowledge of the concept of mathematical models to study real phenomenons
3.       To enable students to develop a working knowledge of relevant software.
4.       To introduce the key skills needed to prepare for, and successfully undertake, transport projects.

Outline Of Syllabus

Part A: introduction and basics of statistics; sampling and distributions; testing for differences between groups; correlation; data reduction techniques; elementary probability theory, inferential statistics

Part B: Basic concept of optimisation (unconstrained and constrained), Regressions linear/no-linear,
with continues and categorical dependent variables, including specification, estimation, evaluation (R2 and use of t-test, fisher test), interpolation and extrapolation.

Part C: Basics of programming (using Excel and R packages)

Part D: Basics concepts of data reduction techniques

Intended Knowledge Outcomes

On successful completion of this module, students will have:

1. The ability to analyse and interpret data using appropriate numerical techniques supported by relevant software.
2. The ability to built basic mathematical and using them to interpret various transport problems.
3. An understanding of the technical skills required to prepare for and deliver a significant piece of research successfully.

Intended Skill Outcomes

On successful completion of this module, students will have developed a range of key skills spanning: planning and organisation, problem solving, numeracy, computer literacy and data analysis and interpretation.

Teaching Rationale And Relationship

Teaching and learning of this module is done by a combination of lectures, computer demonstrations and practical work, guest lectures, coursework and reading materials. This is in line with the learning outcomes. Lectures, guest lectures and coursework are intended to provide the theoretical background, computer demonstrations allow students to learn the software and the codes to build the mathematical model. Practical work allows students to learn how to link the theory with the practice (how to use the theory in practice) and help developing problem solving skills.
Reading materials helps developing critical, independent and innovative thinking.

Assessment Rationale And Relationship

The two forms of assessment (written exam and report) are intended to serve two purposes:
(1)       testing if students acquired the intended skills in terms of understanding and master the theoretical background (written exam) and being able to apply the theory in practice (report);
(2)       allowing students, who have different background, to find in one of the three form of examination the form they are more familiar with and where they can express themselves in the best way.

General Notes

N/A